code: def test_predict_with_input_none(mock_backend):
      mlflow.models.predict(
          model_uri="runs:/test/Model",
          content_type=_CONTENT_TYPE_CSV,
      )
  
      mock_backend.predict.assert_called_once_with(
          model_uri="runs:/test/Model",
          input_path=None,
          output_path=None,
          content_type=_CONTENT_TYPE_CSV,
          pip_requirements_override=None,
      )
  
file_path: mlflow/tests/models/test_python_api.py
imports: import datetime
  import sys
  from unittest import mock
  import numpy
  import pandas
  import pytest
  import scipy.sparse
  import mlflow
  from mlflow.exceptions import MlflowException
  from mlflow.models.python_api import _CONTENT_TYPE_CSV, _CONTENT_TYPE_JSON, _serialize_input_data
  from mlflow.utils.env_manager import CONDA, VIRTUALENV
label_desc: Use image node_id 6 for calling a global function with example usage: test_predict_with_input_none(mock_backend) without return types